Author

Feng Yan

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Preprint Aug 2026

Pixel-Space Diffusion via Observation Operators

Observation Operator Diffusion is proposed, a unified framework that aligns both the supervision trajectory and feature refinement with the intrinsic recovery order of image structures and introduces GL-CoDA, a decoder that injects scale-specific Gaussian-Lanczos observations across decoding stages for coarse-to-fine feature refinement.

Shaojie Guo, Lichen Ma, Haoyang Tong et al. · 0 citations